Phillip's Projects
Azure DevOps Python API
Computer Vision patterns utilizing Azure Machine Learning
A Python toolkit of the BOP benchmark for 6D object pose estimation.
Built a simple Content Based Image Retrieval System. The system gives images similar to the given image output using Chi Square similarity criterion
US Census Bureau Regions and Divisions by State
image classification with CIFAR10 dataset w/ Tensorflow
Python SDK for the Microsoft Language Understanding Intelligent Service API, part of Cognitive Services
Sample microservices solution using Azure Container Apps, Dapr, Cosmos DB, and Azure API Management
Data and code behind the articles and graphics at FiveThirtyEight
Doing Data Science for SMU MSDS
2021 Learning to Understand Aerial Images Challenge on DOTA dataset
Plotting Assignment 1 for Exploratory Data Analysis
a set of notebooks and scripts to explore stat + r
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Objective of Flow Free The objective in the game Flow Free, is to connect each dot of the same color in a continuous line. The path of the line can not cross or overlap to a color dot/path that is not the same color. Finally before the level is complete, you cant leave a single piece of the grid uncovered. Once you start working your way though the game, each level will gradually become unlocked. I found it extremely useful to work each level in order. As the levels increase, each level pack will becoming bigger. This will increase the grid size and also add additional dots.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Given a image from Marvel MCU retrieve similar marvel images
League of Legends stats data structure in R. Work in progress.
This is my set of various machine learning notebooks from general data science practices, to kaggle machine learning to neural networks
Models and examples built with TensorFlow
You may have heard of the infinite monkey theorem? The theorem states that a monkey hitting keys at random on a typewriter keyboard for an infinite amount of time will almost surely type a given text, such as the complete works of William Shakespeare. Well, suppose we replace a monkey with a Python function. How long do you think it would take for a Python function to generate just one sentence of Shakespeare? The sentence weโll shoot for is: โmethinks it is like a weaselโ
Various notebooks and homework assignments from my time @SMU MSDS
Budweiser Data Analysis Report
my personal repo readme
A set of analytics and machine learning models with the goal of bring intelligence to the NFL.
Data files (.csv) accessed with nflscrapR and summarized at the player-level
This repo contains all NLP related programs (NLTK, Tweepy, TextBlob)
A simple nodejs application for docs